Himetrica
Hey HN, I’m a solo dev. Over the last few months I’ve been building Himetrica, an analytics tool focused specifically on SaaS products. The reason I started: I run another SaaS, and answering simple questions was surprisingly painful: How many trials converted to paid this month? Which pages actually drive paid conversions? Where do high-churn users come from? What features do paying users actually use? To answer that, I had to stitch together: - GA4 for traffic - Stripe for revenue - Spreadsheets to connect everything It felt wrong. So I decided to build something that connects product…
Himetrica launched on March 9, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
Don't just see a traffic spike, see who came, where from, and what they did. Analytics that let you understand the story, not just the chart.
See who arrives, what they do, and who is ready to pay, from the first click to MRR.
You launch, you spike, you sit there hammering F5. The free tier fills up and MRR won't move. Real stories from people who traded hunches for clarity. Same product, different number. GA4, Plausible and the rest were designed for marketing teams: visits, bounce, sessions. Brochure-site metrics. But you don't have a site, you have a product, and a product is measured by people who activate and people who pay. Every time it's the same scene: you open the dashboard and close it in ten seconds, because that screen never answers what you came to ask. Instead of a number that climbs and disappears, each signup becomes a timeline: where they came from, every screen they opened, where they stopped.…from himetrica.com
In the maker’s words, at launch
Hey HN, I’m a solo dev. Over the last few months I’ve been building Himetrica, an analytics tool focused specifically on SaaS products. The reason I started: I run another SaaS, and answering simple questions was surprisingly painful: How many trials converted to paid this month? Which pages actually drive paid…
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